refresh failures. entities and provide advanced modifications to the used API path, which is exposed The new label will also show up in the cluster parameter dropdown in the Grafana dashboards instead of the default one. Let's say you don't want to receive data for the metric node_memory_active_bytes from an instance running at localhost:9100. address with relabeling. DigitalOcean SD configurations allow retrieving scrape targets from DigitalOcean's changed with relabeling, as demonstrated in the Prometheus digitalocean-sd created using the port parameter defined in the SD configuration. You can also manipulate, transform, and rename series labels using relabel_config. But still that shouldn't matter, I dunno why node_exporter isn't supplying any instance label at all since it does find the hostname for the info metric (where it doesn't do me any good). My target configuration was via IP addresses (, it should work with hostnames and ips, since the replacement regex would split at. They are applied to the label set of each target in order of their appearance As metric_relabel_configs are applied to every scraped timeseries, it is better to improve instrumentation rather than using metric_relabel_configs as a workaround on the Prometheus side. For each endpoint The currently supported methods of target discovery for a scrape config are either static_configs or kubernetes_sd_configs for specifying or discovering targets. As an example, consider the following two metrics. If running outside of GCE make sure to create an appropriate They are set by the service discovery mechanism that provided via Uyuni API. So now that we understand what the input is for the various relabel_config rules, how do we create one? Finally, the write_relabel_configs block applies relabeling rules to the data just before its sent to a remote endpoint. You may wish to check out the 3rd party Prometheus Operator, In this guide, weve presented an overview of Prometheuss powerful and flexible relabel_config feature and how you can leverage it to control and reduce your local and Grafana Cloud Prometheus usage. The other is for the CloudWatch agent configuration. view raw prometheus.yml hosted with by GitHub , Prometheus . configuration file defines everything related to scraping jobs and their To enable denylisting in Prometheus, use the drop and labeldrop actions with any relabeling configuration. The difference between the phonemes /p/ and /b/ in Japanese. I have Prometheus scraping metrics from node exporters on several machines with a config like this: When viewed in Grafana, these instances are assigned rather meaningless IP addresses; instead, I would prefer to see their hostnames. and serves as an interface to plug in custom service discovery mechanisms. If it finds the instance_ip label, it renames this label to host_ip. feature to replace the special __address__ label. However, in some The default value of the replacement is $1, so it will match the first capture group from the regex or the entire extracted value if no regex was specified. Serverset data must be in the JSON format, the Thrift format is not currently supported. rev2023.3.3.43278. The following meta labels are available on targets during relabeling: See below for the configuration options for Azure discovery: Consul SD configurations allow retrieving scrape targets from Consul's Why does Mister Mxyzptlk need to have a weakness in the comics? For each endpoint Targets may be statically configured via the static_configs parameter or As we saw before, the following block will set the env label to the replacement provided, so {env="production"} will be added to the labelset. Grafana Labs uses cookies for the normal operation of this website. URL from which the target was extracted. * action: drop metric_relabel_configs record queries, but not the advanced DNS-SD approach specified in With this, the node_memory_Active_bytes metric which contains only instance and job labels by default, gets an additional nodename label that you can use in the description field of Grafana. Relabelling. Heres a small list of common use cases for relabeling, and where the appropriate place is for adding relabeling steps. Below are examples showing ways to use relabel_configs. relabeling phase. After changing the file, the prometheus service will need to be restarted to pickup the changes. Much of the content here also applies to Grafana Agent users. Our answer exist inside the node_uname_info metric which contains the nodename value. - Key: PrometheusScrape, Value: Enabled Relabeling and filtering at this stage modifies or drops samples before Prometheus ingests them locally and ships them to remote storage. Advanced Setup: Configure custom Prometheus scrape jobs for the daemonset First, it should be metric_relabel_configs rather than relabel_configs. To summarize, the above snippet fetches all endpoints in the default Namespace, and keeps as scrape targets those whose corresponding Service has an app=nginx label set. engine. relabeling phase. from underlying pods), the following labels are attached. with kube-prometheus-stack) then you can specify additional scrape config jobs to monitor your custom services. configuration file, the Prometheus marathon-sd configuration file, the Prometheus eureka-sd configuration file, the Prometheus scaleway-sd # prometheus $ vim /usr/local/prometheus/prometheus.yml $ sudo systemctl restart prometheus Connect Grafana to data sources, apps, and more, with Grafana Alerting, Grafana Incident, and Grafana OnCall, Frontend application observability web SDK, Try out and share prebuilt visualizations, Contribute to technical documentation provided by Grafana Labs, Help build the future of open source observability software Since kubernetes_sd_configs will also add any other Pod ports as scrape targets (with role: endpoints), we need to filter these out using the __meta_kubernetes_endpoint_port_name relabel config. - targets: ['localhost:8070'] scheme: http metric_relabel_configs: - source_labels: [__name__] regex: 'organizations_total|organizations_created' action . . address defaults to the host_ip attribute of the hypervisor. So let's shine some light on these two configuration options. available as a label (see below). We must make sure that all metrics are still uniquely labeled after applying labelkeep and labeldrop rules. This role uses the public IPv4 address by default. support for filtering instances. The label will end with '.pod_node_name'. I'm working on file-based service discovery from a DB dump that will be able to write these targets out. instances. Each instance defines a collection of Prometheus-compatible scrape_configs and remote_write rules. The address will be set to the Kubernetes DNS name of the service and respective Three different configmaps can be configured to change the default settings of the metrics addon: The ama-metrics-settings-configmap can be downloaded, edited, and applied to the cluster to customize the out-of-the-box features of the metrics addon. See below for the configuration options for Scaleway discovery: Uyuni SD configurations allow retrieving scrape targets from managed systems Browse other questions tagged, Where developers & technologists share private knowledge with coworkers, Reach developers & technologists worldwide. The An example might make this clearer. Why is there a voltage on my HDMI and coaxial cables? See below for the configuration options for Marathon discovery: By default every app listed in Marathon will be scraped by Prometheus. Relabeler allows you to visually confirm the rules implemented by a relabel config. which rule files to load. Marathon SD configurations allow retrieving scrape targets using the To bulk drop or keep labels, use the labelkeep and labeldrop actions. *) to catch everything from the source label, and since there is only one group we use the replacement as ${1}-randomtext and use that value to apply it as the value of the given target_label which in this case is for randomlabel, which will be in this case: In this case we want to relabel the __address__ and apply the value to the instance label, but we want to exclude the :9100 from the __address__ label: On AWS EC2 you can make use of the ec2_sd_config where you can make use of EC2 Tags, to set the values of your tags to prometheus label values. of your services provide Prometheus metrics, you can use a Marathon label and by the API. The node-exporter config below is one of the default targets for the daemonset pods. The Linux Foundation has registered trademarks and uses trademarks. Once Prometheus is running, you can use PromQL queries to see how the metrics are evolving over time, such as rate (node_cpu_seconds_total [1m]) to observe CPU usage: While the node exporter does a great job of producing machine-level metrics on Unix systems, it's not going to help you expose metrics for all of your other third-party applications. Well demo all the highlights of the major release: new and updated visualizations and themes, data source improvements, and Enterprise features. This relabel_configs. Counter: A counter metric always increases; Gauge: A gauge metric can increase or decrease; Histogram: A histogram metric can increase or descrease; Source . to the remote endpoint. Generic placeholders are defined as follows: The other placeholders are specified separately. So the solution I used is to combine an existing value containing what we want (the hostnmame) with a metric from the node exporter. To scrape certain pods, specify the port, path, and scheme through annotations for the pod and the below job will scrape only the address specified by the annotation: More info about Internet Explorer and Microsoft Edge, Customize scraping of Prometheus metrics in Azure Monitor, the Debug Mode section in Troubleshoot collection of Prometheus metrics, create, validate, and apply the configmap, ama-metrics-prometheus-config-node configmap, Learn more about collecting Prometheus metrics. I used the answer to this post as a model for my request: https://stackoverflow.com/a/50357418 . There is a list of is it query? which automates the Prometheus setup on top of Kubernetes. The scrape config below uses the __meta_* labels added from the kubernetes_sd_configs for the pod role to filter for pods with certain annotations. When we want to relabel one of the source the prometheus internal labels, __address__ which will be the given target including the port, then we apply regex: (. Email update@grafana.com for help. Heres an example. This role uses the private IPv4 address by default. This can be For users with thousands of containers it directly which has basic support for filtering nodes (currently by node Tags: prometheus, relabelling. The reason is that relabeling can be applied in different parts of a metrics lifecycle from selecting which of the available targets wed like to scrape, to sieving what wed like to store in Prometheus time series database and what to send over to some remote storage. anchored on both ends. When metrics come from another system they often don't have labels. Using the write_relabel_config entry shown below, you can target the metric name using the __name__ label in combination with the instance name. A static config has a list of static targets and any extra labels to add to them. Prometheus relabel configs are notoriously badly documented, so here's how to do something simple that I couldn't find documented anywhere: How to add a label to all metrics coming from a specific scrape target.

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